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URL: https://huggingface.co/janhq/Jan-v1-4B

โ‡ฑ janhq/Jan-v1-4B ยท Hugging Face


Jan-v1: Advanced Agentic Language Model

๐Ÿ‘ GitHub
๐Ÿ‘ License
๐Ÿ‘ Jan App

Overview

Jan-v1 is the first release in the Jan Family, designed for agentic reasoning and problem-solving within the Jan App. Based on our Lucy model, Jan-v1 achieves improved performance through model scaling.

Jan-v1 uses the Qwen3-4B-thinking model to provide enhanced reasoning capabilities and tool utilization. This architecture delivers better performance on complex agentic tasks.

Performance

Question Answering (SimpleQA)

For question-answering, Jan-v1 shows a significant performance gain from model scaling, achieving 91.1% accuracy.

๐Ÿ‘ image/png

The 91.1% SimpleQA accuracy represents a significant milestone in factual question answering for models of this scale, demonstrating the effectiveness of our scaling and fine-tuning approach.

Chat Benchmarks

These benchmarks evaluate the model's conversational and instructional capabilities.

๐Ÿ‘ image/png

Quick Start

Integration with Jan App

Jan-v1 is optimized for direct integration with the Jan App. Simply select the model from the Jan App interface for immediate access to its full capabilities.

๐Ÿ‘ image/gif

Local Deployment

Using vLLM:

vllm serve janhq/Jan-v1-4B \
 --host 0.0.0.0 \
 --port 1234 \
 --enable-auto-tool-choice \
 --tool-call-parser hermes
 

Using llama.cpp:

llama-server --model Jan-v1-4B-Q4_K_M.gguf \
 --host 0.0.0.0 \
 --port 1234 \
 --jinja \
 --no-context-shift

Recommended Parameters

temperature: 0.6
top_p: 0.95
top_k: 20
min_p: 0.0
max_tokens: 2048

๐Ÿค Community & Support

(*) Note

By default we have system prompt in chat template, this is to make sure the model having the same performance with the benchmark result. You can also use the vanilla chat template without system prompt in the file chat_template_raw.jinja.

๐Ÿ“„ Citation

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